Python challenge

This is a Python challenge to create a chat app with a microservice architecture.

• Version: 0.1.0

Getting started

• You must have installed Python 3 and RabbitMQ for this application to work. Make sure RabbitMQ service is up and running.

• Create a virtualenv for this project

virtualenv3 --no-site-packages challenge-env

• Clone project from https://github.com/rober710/jobsitychallenge

cd challenge-env
git clone https://github.com/rober710/jobsitychallenge challenge

• Activate the virtualenv and install the requirements listed on requirements.txt

cd challenge
source bin/activate
pip install -r requirements.txt

Usage

This application consists of a bot that makes queries to the Yahoo Finance Api and a Chat application in Django that serves as the web frontend to post messages for users and commands for the bot. The applications are decoupled and are connected between them using a RabbitMQ queue.

1. Start the bot process in one shell with the following command:

python bot_main.py

2. In another shell, start the Django app with the following command:

python manage.py migrate
python manage.py runserver

3. Point your browser to http://127.0.0.1:8000 to see the login page of the application. The sqlite database provided contains two users: rober and andre. The password for these users is admin1234567.

4. Start posting messages. Messages are visible to all users. You can also post commands to the bot to query financial information from the Yahoo API. These two commands are implemented:

/stock=company_id
/day_range=company_id

For example:

/stock=AAPL
--> bot responds: AAPL (Apple, Inc.) quote is $144.190002 per share.
/day_range=AAPL
--> bot responds: AAPL (Apple, Inc.) Days Low Quote is $143.47 and Days High is $144.52.